| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | The collaborative learning cellular automata density classification problem |
| Authors: | Schüle, Martin |
| et. al: | No |
| Proceedings: | Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications |
| Page(s): | 268 |
| Conference details: | International Symposium on Nonlinear Theory and its Applications (NOLTA), Okinawa, Japan, 16–19 November 2020 |
| Issue Date: | 16-Nov-2020 |
| Language: | English |
| Subject (DDC): | 006: Special computer methods |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/21234 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Computational Life Sciences (ICLS) |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
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Schüle, M. (2020). The collaborative learning cellular automata density classification problem [Conference paper]. Proceedings of the 2020 International Symposium on Nonlinear Theory and Its Applications, 268.
Schüle, M. (2020) ‘The collaborative learning cellular automata density classification problem’, in Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications, p. 268.
M. Schüle, “The collaborative learning cellular automata density classification problem,” in Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications, Nov. 2020, p. 268.
SCHÜLE, Martin, 2020. The collaborative learning cellular automata density classification problem. In: Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications. Conference paper. 16 November 2020. S. 268
Schüle, Martin. 2020. “The Collaborative Learning Cellular Automata Density Classification Problem.” Conference paper. In Proceedings of the 2020 International Symposium on Nonlinear Theory and Its Applications, 268.
Schüle, Martin. “The Collaborative Learning Cellular Automata Density Classification Problem.” Proceedings of the 2020 International Symposium on Nonlinear Theory and Its Applications, 2020, p. 268.
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